Oracle Agentic AI Foundations study guide
Oracle Agentic AI Foundations · Work through your exam, one topic at a time.
Oracle Agentic AI Foundations is an entry-to-intermediate credential for practitioners who build, integrate, or govern AI agents on Oracle technology. It suits application developers moving from chatbots to tool-using agents, data and integration engineers connecting agents to enterprise systems, and architects or governance leads who need a shared vocabulary for agent design. The Oracle Agentic AI Foundations study guide has 6 sections and about 2,201 words.
01Agentic AI Concepts and Architecture
Agentic AI Concepts and Architecture tests whether you can separate an agent from a chatbot and describe the components that make autonomous work safe: model, instructions, tools, memory, policy, and orchestration. Expect questions on planning loops, single- versus multi-agent designs, and where human approval belongs.
375 words, about 2 min02Oracle AI Agent Platform and Services
This domain checks that you can map agent capabilities to Oracle services rather than treating the platform as one product. Know the roles of model access, managed RAG, database vector search, integration, identity, and observability.
368 words, about 2 min03Agent Design, Tools, and Integration
Agent Design, Tools, and Integration tests tool contracts, function calling, API security, error handling, and when to keep work deterministic. You need to design an agent that can act without giving it unstructured control.
354 words, about 2 min04Data, Knowledge, and Retrieval for Agents
Data, Knowledge, and Retrieval for Agents tests whether you can build grounded answers: ingestion, chunking, embeddings, vector search, metadata filters, freshness, and citation. It also tests access control at retrieval time.
357 words, about 2 min05Security, Governance, and Responsible AI
Security, Governance, and Responsible AI tests identity, authorization, data protection, prompt-injection defense, audit, and human oversight. The exam treats the model as untrusted input and the agent as a privileged actor that must be constrained.
385 words, about 2 min06Operations, Monitoring, and Lifecycle Management
Operations, Monitoring, and Lifecycle Management tests how an agent is deployed, versioned, evaluated, observed, and retired. Expect questions on release control, telemetry, cost, drift, and incident response.
362 words, about 2 min